IBM has released a Beta version of Data Science Experience Desktop. This Beta includes four Decision Optimization Notebooks, along with our DOcplex Python API and the community editions of our CPLEX and CP Optimizer engines.
The IBM Decision Optimization on Cloud R Client is now available for download on IBM Decision Optimization GitHub. With this R client, you can quickly and easily submit optimization problems to IBM Decision Optimization on Cloud service.
CPLEX Optimization Studio 12.7 is now available on the new Academic Initiative website. Faculty staff (teachers, researchers) can download it from this link, while students should go to this other link.
CPLEX Optimization Studio 12.7 is here! This blog post gives an overview of the new features, including Benders’ decomposition in CPLEX, interactive improvements and warm start in CP Optimizer, and a way to easily evaluate solver variability in both.
We’re delighted to announce the availability of a Decision Optimization Beta service on IBM Bluemix. The beta will last for 90 days and you can sign up for the next 30 days. To explore the beta at no cost, sign up for a 30-day trial Bluemix account. Once you’ve signed up, you’ll find the Decision Optimization service here in the Bluemix catalog.
Today we more and more hear about and tend to use Open Source software. In many cases this might be a viable and good choice. Apparently, mathematical optimization (aka math programming, aka decision optimization) usually is not one of those cases.
Welcome to Decision Optimization news, a blog to inform our user community about recent developments in Decision Optimization products and services. Check back regularly for information about new features, new samples and tutorials, and technical events.